繁殖极限的进化算法机会答案

【问题标题】：Evolutionary algorithm chance of reproduction limit繁殖极限的进化算法机会
【发布时间】：2014-05-14 22:44:04
【问题描述】：

应该发生什么：

使用包含随机整数的属性创建一个随机对象群体，所有对象都将以 10 的再现机会开始。（第 16 行）
对于所有“数字”属性大于 4 的对象，将 10 添加到与该对象相关的 chance_of_rep 属性。（第 21 行）
根据“chance_of_rep”属性，决定是否繁殖后代。（第 36 行）
每一代，将每个成员的年龄加1，如果年龄大于1，则杀死该成员。（第47行）

真正发生的事情：

“chance_of_rep”属性将在 50 处结束，并且不会高于此值。为什么是这样？除此之外，其他一切都按其应有的方式工作（至少我相信如此，请提及任何看起来有问题的地方）。

import random as r
import os
import sys
import time
from subprocess import call
#call('color a', shell=True)
class Entity(object):
    def __init__(self, number):
        self.number = number
        self.chance = 10
        self.age = 0
class Fitness(object):
    def __init__(self, population):
        self.population = population

    def StartPopulation(self, pop, entities):
        for x in range(pop):
            entity = Entity(r.randint(3, 5))
            entities.append(entity)

    def FitnessMethod(self, entities):

        for x in entities:
            if x.number >= 5:
                x.chance += 10
            else: 
                x.chance += 0

            if x.chance > 100:
                x.chance = 100

            else: 
                x.chance += 0


    def Reproduce(self,entities):

        for x in entities:
            if r.randint(0, 100) < x.chance:    
                random_children = r.randint(1, 3)
                for a in range(random_children):    
                    entity = Entity(x.number)
                    entity.chance = x.chance
                    entities.append(entity)
                x.age += 1

    def Aging(self, entities):
        for x in entities:
            if x.age >= 2:
                entities.remove(x)          

pop = r.randint(3, 5)
entities = []
Fitness = Fitness(pop)
Fitness.StartPopulation(pop, entities)
for x in entities:
    print x.number, x.chance
print "~~~~~~~~~~~~~\n"
raw_input()


for x in range(30):
    Fitness.FitnessMethod(entities)
    Fitness.Reproduce(entities)
    Fitness.Aging(entities)
    for x in entities:
        print x.number, x.age, x.chance
    print "Generation_Mutation_Complete"
raw_input()

顺便说一句，这不是家庭作业，这是个人项目。

【问题讨论】：

要求人们发现代码中的错误并不是特别有效。您应该使用调试器（或添加打印语句）来隔离问题，方法是跟踪程序的进度，并将其与您期望发生的情况进行比较。一旦两者发生分歧，那么您就发现了您的问题。（然后如果有必要，你应该构造一个minimal test-case。）
哇，有点苛刻，毕竟这是一个问答网站。
是编程知识问答，不是众包调试器...
来吧，真的吗？你连尝试和帮助都不打算？

标签： python-2.7 evolutionary-algorithm

【解决方案1】：

好吧，不感谢 oli CharlesWorth，我纠正了这个问题。这是更正后的代码：

import random as r
import os
import sys
import time
from subprocess import call
#call('color a', shell=True)
class Entity(object):
    def __init__(self, number):
        self.number = number
        self.chance = 10
        self.age = 0
class Fitness(object):
    def __init__(self, population):
        self.population = population

    def StartPopulation(self, pop, entities):
        for x in range(pop):
            entity = Entity(r.randint(3, 5))
            entities.append(entity)

    def FitnessMethod(self, entities):

        for x in entities:
            if x.number >= 5:
                x.chance += 10
            else: 
                x.chance += 0

            if x.chance > 100:
                x.chance = 100

            else: 
                x.chance += 0


    def Reproduce(self,entities):
        x = entities[r.randint(0, (len(entities) - 1))]
        if r.randint(0, 100) < x.chance:    
            random_children = r.randint(1, 3)
            for a in range(random_children):    
                entity = Entity(x.number)
                entity.chance = x.chance
                entities.append(entity)
            x.age += 1

    def Aging(self, entities):
        for x in entities:
            if x.age >= 2:
                entities.remove(x)          

pop = r.randint(3, 5)
entities = []
Fitness = Fitness(pop)
Fitness.StartPopulation(pop, entities)
for x in entities:
    print x.number, x.chance
print "~~~~~~~~~~~~~\n"
raw_input()


for x in range(30):
    Fitness.FitnessMethod(entities)
    Fitness.Reproduce(entities)
    Fitness.Aging(entities)
    for x in entities:
        print x.number, x.age, x.chance
    print "Generation_Mutation_Complete"
print "Generation_Mutation_Complete"    
raw_input()

【讨论】：